PRIVATE-IYE: A framework for privacy preserving data integration

Sourav S. Bhowmick, Le Gruenwald, Mizuho Iwaihara, Somchai Chatvichienchai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

26 Citations (Scopus)

Abstract

Data integration has been a long standing challenge to the database and data mining communities. This need has become critical in numerous contexts, including building e-commerce market places, sharing data from scientific research, and improving homeland security. However, these important activities are hampered by legitimate and widespread concerns of data privacy. It is necessary to develop solutions that enable integration of data, especially in the domains of national priorities, while effective privacy control of the data. In this paper, we present an architecture and key research issues for building such a privacy preserving data integration system called PRIVATE-IYE.

Original languageEnglish
Title of host publicationICDEW 2006 - Proceedings of the 22nd International Conference on Data Engineering Workshops
EditorsRoger S. Barga, Xiaofang Zhou
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages91
Number of pages1
ISBN (Electronic)0769525717, 9780769525716
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event22nd International Conference on Data Engineering Workshops, ICDEW 2006 - Atlanta, United States
Duration: 2006 Apr 32006 Apr 7

Publication series

NameICDEW 2006 - Proceedings of the 22nd International Conference on Data Engineering Workshops

Other

Other22nd International Conference on Data Engineering Workshops, ICDEW 2006
Country/TerritoryUnited States
CityAtlanta
Period06/4/306/4/7

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications
  • Information Systems and Management

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